Mac16,9
Geekbench AI Score
6042
Single Precision Score
9650
Half Precision Score
7327
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dtb |
| Upload Date | November 16 2025 10:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
3146
585.1 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4002
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18360
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34963
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27309
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
97% |
3954
314.8 IPS |
|
|
Object Detection (Q)
|
94% |
2816
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
8908
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
4922
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15617
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9874
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31661
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58687
75.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44264
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7075
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9759
360.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5448
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5665
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6747
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9954
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9842
170.1 IPS |
